Pith Number
pith:KIL7YTDT
pith:2024:KIL7YTDTI45F622ORROD7ZBOPC
not attested
not anchored
not stored
refs pending
Damage Assessment after Natural Disasters with UAVs: Semantic Feature Extraction using Deep Learning
arxiv:2412.10756 v1 · 2024-12-14 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KIL7YTDTI45F622ORROD7ZBOPC}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-07-05T09:49:21.078692Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5217fc4c73473a5f6b4e8c5c3fe42e7887c9e7e32a024f45b537d74005c989b3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KIL7YTDTI45F622ORROD7ZBOPC \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 5217fc4c73473a5f6b4e8c5c3fe42e7887c9e7e32a024f45b537d74005c989b3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ea6c6d20b260369cd6730658f4bd31358d3c6f374b1982c990b78f95c2b4507b",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-12-14T08:56:22Z",
"title_canon_sha256": "da0e4718ff2ebbdf26cac685ad2e0a7c7f91d7c046d35f3f7ca90b8917578532"
},
"schema_version": "1.0",
"source": {
"id": "2412.10756",
"kind": "arxiv",
"version": 1
}
}